Sammanfattning:
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This cross-disciplinary project extends on a recently initiated collaboration with a "perfect match" of complementing expertise on cloud management and control of computing systems. We propose a control theoretic approach to a range of cloud management problems, aiming to transform today´s static and energy consuming cloud data centers into self-managed, dynamic, and dependable infrastructures, constantly delivering expected quality of service with acceptable operation costs and carbon footprint for large-scale services with varying capacity demands. Such data centers will form the backbone of the digitalized society by providing unparalleled information storage and processing capabilities. We will develop and validate performance models that accurately capture the dominant control dynamics. Long-term prediction of capacity requirements is used for admission control. A stochastic elasticity controller predicts the application´s required capacity using performance feedback. The feedback-based placement controller maps capacity to virtual machines and determines their physical placement, coordinated with a data center-wide analysis of energy consumption and temperature distribution. A holistic manager monitors the overall system behavior and steers the controllers´ concerted actions. For all problems, we investigate methods for near-optimal solutions in sufficient time, and evaluate the solutions analytically, by simulations and by large-scale experiments in our testbeds.
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